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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22982
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    Explanations

    the word "completely"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing totality or completeness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rers
    -0.81
    maid
    -0.79
    yip
    -0.71
    mere
    -0.71
    bourg
    -0.71
    pring
    -0.70
    iture
    -0.67
    roe
    -0.67
     Springs
    -0.66
     Occupations
    -0.65
    POSITIVE LOGITS
     reliant
    0.82
     revamped
    0.79
     unrelated
    0.78
     immersed
    0.77
    heartedly
    0.77
     disreg
    0.77
     disregard
    0.75
     overhaul
    0.73
     dependent
    0.73
     submerged
    0.73
    Activations Density 0.032%

    No Known Activations